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Computing the MSE & RMSE of a model

Just as you did earlier with \(R^2\), which is a measure of model fit, let's now compute the root mean square error (RMSE) of our models, which is a commonly used measure of preditive error. Let's use the model of price as a function of size and number of bedrooms.

The model is available in your workspace as model_price_2.

说明 1 / 共 2 个

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Let's start by computing the mean squared error (mse), which is the mean of the squared residual.